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https://issues.apache.org/jira/browse/CARBONDATA-888?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ravindra Pesala resolved CARBONDATA-888.
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Resolution: Fixed
> Dictionary include / exclude option in dataframe writer
> -------------------------------------------------------
>
> Key: CARBONDATA-888
> URL: https://issues.apache.org/jira/browse/CARBONDATA-888
> Project: CarbonData
> Issue Type: Improvement
> Components: spark-integration
> Affects Versions: 1.2.0
> Environment: HDP 2.5, Spark 1.6
> Reporter: Sanoj MG
> Assignee: Sanoj MG
> Priority: Minor
> Fix For: 1.2.0
>
> Time Spent: 3.5h
> Remaining Estimate: 0h
>
> While creating a Carbondata table from dataframe, currently it is not
> possible to specify columns that needs to be included in or excluded from the
> dictionary. An option is required to specify it as below :
> df.write.format("carbondata")
> .option("tableName", "test")
> .option("compress","true")
> .option("dictionary_include","incol1,intcol2")
> .option("dictionary_exclude","stringcol1,stringcol2")
> .mode(SaveMode.Overwrite)
> .save()
> We have lot of integer columns that are dimensions, dataframe.save is used to
> quickly create tables instead of writing ddls, and it would be nice to have
> this feature to execute POCs.
>
>
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